lxd99 / CTCP
code and data for Continuous-Time Graph Learning for Cascade Popularity Prediction, IJCAI 2023
☆12Updated last year
Alternatives and similar repositories for CTCP
Users that are interested in CTCP are comparing it to the libraries listed below
Sorting:
- This repository is the official implementation of "Dynamic Graph Information Bottleneck (DGIB)" accepted by the research tracks of The We…☆14Updated last year
- ☆12Updated last year
- PREP: Pre-training with Temporal Elapse Inference for Popularity Prediction☆7Updated 2 years ago
- Implement of our TKDE paper: Hyperbolic Graph Learning for Social Recommendation☆12Updated 11 months ago
- Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning☆18Updated last year
- Accurate Node Feature Estimation with Structured Variational Graph Autoencoder (KDD 2022)☆18Updated 2 years ago
- Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.☆34Updated 2 years ago
- Multi-scale Information Diffusion Prediction with Sequential Hypergraphs☆12Updated last year
- ☆22Updated 4 years ago
- STHN: Simplifying Temporal Heterogeneous Network for Continuous-Time Link Prediction [CIKM 2023]☆10Updated last year
- Source code of NeurIPS 2022 paper “Co-Modality Graph Contrastive Learning for Imbalanced Node Classification”☆20Updated 2 years ago
- "HomoGCL: Rethinking Homophily in Graph Contrastive Learning" in KDD'23☆13Updated last year
- TKDE 2022. CCCL: Contrastive Cascade Graph Learning.☆38Updated last year
- Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometri…☆22Updated 2 years ago
- Code for The Web Conference 2022 Paper "Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding"☆16Updated 3 years ago
- ☆17Updated 6 years ago
- TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.☆36Updated last year
- Official repository for NeurIPS 2023 paper "When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homo…☆20Updated 5 months ago
- [ICML 2023] Linkless Link Prediction via Relational Distillation☆21Updated last year
- Code for "Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing"☆15Updated last year
- An Open and Unified Benchmark for Graph Condensation (submitted to NeurIPS 2024 Datasets and Benchmarks Track)☆17Updated 9 months ago
- Source code of "NeurIPS21 - Universal Graph Convolutional Networks"☆20Updated 3 years ago
- ☆11Updated last month
- Code for GBK-GNN (paper accepted by WWW2022)☆16Updated 2 years ago
- ☆10Updated 4 years ago
- This is the repository for the AAAI 21 paper [Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Lea…☆17Updated 2 years ago
- Implementation of AAAI22 paper: MS-HGAT: Memory-enhanced Sequential Hypergraph Attention Network for Information Diffusion Prediction☆37Updated 2 years ago
- A curated list of Heterophilous Graph Self-Supervised Learning papers.☆15Updated 2 years ago
- [IJCAI'23] LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity☆17Updated 6 months ago
- Official Code: TheWebConf 2022 Compact Graph Structure Learning via Mutual Information Compression☆24Updated last year